Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions

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dc.contributor.author Salazar-Varas, R.
dc.contributor.author Vazquez, Roberto A.
dc.contributor.author ,
dc.contributor.other Universidad La Salle México
dc.creator R. Salazar-Varas;330284
dc.creator Roberto A. Vazquez;--
dc.creator ;
dc.date.accessioned 2018-08-03T16:44:26Z
dc.date.available 2018-08-03T16:44:26Z
dc.date.issued --6
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dc.identifier.issn
dc.identifier.uri http://repositorio.udlap.mx/xmlui/handle/123456789/13338
dc.description
dc.description.sponsorship The authors would like to thank Universidad La Salle México forthe economic support under grant number NEC-03/15 and IMC-08/16.
dc.description.statementofresponsibility Estudiantes
dc.description.statementofresponsibility Investigadores
dc.language eng
dc.publisher Elsevier
dc.relation Versión aceptada
dc.relation.haspart http://www.bbci.de/competition/iii/desc_IVa.html
dc.rights En Embargo
dc.rights.uri http://creativecommons.org/licenses/by-nd/4.0
dc.subject Brain-computer interface
dc.subject pattern recognition
dc.subject coherence
dc.subject.classification INGENIERÍA Y TECNOLOGÍA
dc.title Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions
dc.type Artículo


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